Methodology for Improving the Planning, Execution, and Assessment of Intelligence, Surveillance, and Reconnaissance Operations
Mar 29, 2008
The U.S. Air Force today encounters fleeting targets, such as terrorists and insurgents, which expose themselves to detection and attack for short periods of time, in addition to traditional fixed targets. Rapid response requires an intelligence, surveillance, and reconnaissance (ISR) system that has appropriate sensors at the correct location when targets are exposed. The ISR planning process must prioritize many competing tasks and allow flexible, real-time changes to plans with minimum delay and friction.
Allocating limited ISR resources is a challenge. Intelligence officers do not have the means to rapidly analyze the costs and benefits of an ISR collection strategy, especially when changes are needed. Moreover, lessons learned from operations in Afghanistan and Iraq indicate that commanders are often unaware of how ISR assets are being employed and that resources are perhaps not being used to their full potential.
RAND Project AIR FORCE (PAF), a unit of the RAND Corporation, has performed research to improve the planning, execution, and assessment of ISR assets. This work has resulted in three suggested approaches:
The Air Force can enhance planning for daily intelligence collections by adopting a strategies-to-tasks and utility-based framework. This framework would link the top-level commander's guidance, operational objectives, and tasks to specific collections and would differentiate between collections based on their utility (i.e., importance in achieving the objectives). Intelligence officers would be able to deal with time-sensitive, emerging targets by rapidly comparing the value of an ad hoc collection with the value of the collection opportunities already planned.
Traditional methods of ISR modeling assume fixed targets and predictable operations. Such approaches are no longer sufficient to test collection strategies against today's time-sensitive targets. PAF developed a suite of models to analyze the process of building collection "decks" (i.e., planned collections) and their execution in a simulated environment that reflects today's dynamic environment. The flexibility of the models is demonstrated by examining the effects of employing different collection strategies, in addition to sensors and platforms, in the same scenario.
To ensure efficient use of limited intelligence assets, an end-to-end assessment process is needed to monitor and evaluate daily operations. To date, the majority of ISR assessments have focused on statistics from the tactical level (e.g., percentage of planned images collected), but these data do not indicate how well the ISR system satisfied the commander's objectives. Adopting a strategies-to-tasks framework for collection planning at the Joint Task Force (JTF) level will enable more useful assessments because ISR tasks at the tactical level will be clearly connected to campaign objectives. JTF and component commanders should mandate feedback on ISR performance from all requestors and users of ISR-generated intelligence, and doctrine and manuals should be updated accordingly.
These methodologies should help the Air Force ensure the best use of limited intelligence assets. The ability to model ISR employment in today's dynamic environment provides a useful tool to study future Air Force challenges.